Imagen de Portada

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Shuokun, Shi, Jinghao, Sun, Kun
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BiCoR-Seg: Bidirectional Co-Refinement Framework for High-Resolution Remote Sensing Image Segmentation
por: Shi, Jinghao, et al.
Publicado: (2025)

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
por: Zhang, Jinming, et al.
Publicado: (2026)

UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
por: Lucke, Kyle, et al.
Publicado: (2026)

Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
por: Ding, Hu, et al.
Publicado: (2025)

Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
por: Zhou, Shiwei, et al.
Publicado: (2025)

SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation
por: Guo, Yulong, et al.
Publicado: (2025)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
por: Das, Aryan, et al.
Publicado: (2026)

LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation
por: Zhang, Shengdong, et al.
Publicado: (2025)

DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation
por: Mohammadi, Bahram, et al.
Publicado: (2026)

Structure and Progress Aware Diffusion for Medical Image Segmentation
por: Song, Siyuan, et al.
Publicado: (2026)

MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
por: Lan, Libin, et al.
Publicado: (2025)

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
por: Zhang, Yichi, et al.
Publicado: (2023)

Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation
por: Shi, Lei, et al.
Publicado: (2025)

LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation
por: Lu, Zhenkun, et al.
Publicado: (2025)

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
por: Lan, Libin, et al.
Publicado: (2024)

UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs
por: Ni, Shuo, et al.
Publicado: (2026)

S2M-Net: Spectral-Spatial Mixing for Medical Image Segmentation with Morphology-Aware Adaptive Loss
por: Sabrin, Md. Sanaullah Chowdhury Lameya
Publicado: (2026)

PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation
por: Hu, Bo-Cheng, et al.
Publicado: (2025)

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
por: Du, Anghong, et al.
Publicado: (2025)

Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation
por: Gu, Yuliang, et al.
Publicado: (2023)

Navigating Uncertainty in Medical Image Segmentation
por: Zepf, Kilian, et al.
Publicado: (2024)

UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
por: Zhao, Chen, et al.
Publicado: (2025)

U-MAN: U-Net with Multi-scale Adaptive KAN Network for Medical Image Segmentation
por: Huang, Bohan, et al.
Publicado: (2025)

Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation
por: Sharif, Muhammad Hamza, et al.
Publicado: (2024)

Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
por: Sui, An, et al.
Publicado: (2026)

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation
por: Barfoot, Theodore, et al.
Publicado: (2025)

PL-Net: Progressive Learning Network for Medical Image Segmentation
por: Mao, Kunpeng, et al.
Publicado: (2021)

Multimodal-Aware Fusion Network for Referring Remote Sensing Image Segmentation
por: Shi, Leideng, et al.
Publicado: (2025)

Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion
por: An, Guoyuan, et al.
Publicado: (2024)

nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation
por: Liu, Haixu, et al.
Publicado: (2025)

Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
por: Lu, Yunyao, et al.
Publicado: (2025)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2025)

A Probabilistic Segment Anything Model for Ambiguity-Aware Medical Image Segmentation
por: Ward, Tyler, et al.
Publicado: (2025)

Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation
por: Ye, Andre, et al.
Publicado: (2023)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
por: Li, Liu, et al.
Publicado: (2024)

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images
por: Ding, Yujie, et al.
Publicado: (2025)

Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
por: Nahiduzzaman, Md, et al.
Publicado: (2025)

PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation
por: Li, Xiangyu, et al.
Publicado: (2026)

MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
por: Rezvani, Arghavan, et al.
Publicado: (2025)

CAR-Net: A Cascade Refinement Network for Rotational Motion Deblurring under Angle Information Uncertainty
por: Lai, Ka Chung, et al.
Publicado: (2025)